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How Lawyers Use AI to Review Contracts

Last updated: Apr 17, 2026

Written by

Niko Pajkovic

Contract review has long been one of the most time-intensive legal tasks. Artificial intelligence (AI) is accelerating the process. However, speed means nothing if an AI tool is making decisions that are better left to lawyers.

This article examines how AI is being used in contract review today. It also guides lawyers toward the tools designed to speed up contract review while keeping human judgment at the center of legal practice.

Key Takeaways

AI can reduce contract review time from hours to minutes for standard clauses.
Every AI-produced suggestion or redline is a draft; the lawyer should retain full editorial control.
Firms that adopt AI contract review can scale their review capacity without proportional headcount growth.

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What Contract Review Tasks Does AI Perform?

AI contract review tools perform three core functions: risk identification, redline generation, and clause-level benchmarking.

Risk Flagging and Benchmarking

Legal-specific AI tools such as Spellbook can analyze contract language to flag potential risks, surface key obligations and deadlines, and benchmark provisions against more than 2,300 contract types, helping lawyers review contracts faster. AI can also flag non-standard clauses that deviate from a company playbook for attorney review.

As with all AI tools, lawyers must still evaluate all output for accuracy and relevancy.

Redline Generation

Using Spellbook again as an example, legal AI tools can automatically produce redlined suggestions, with each appearing as a tracked change in the Microsoft Word document. Lawyers review, then accept, edit, or reject each suggestion.

AI-generated revisions are not automatically applied. The lawyer controls every modification. This approach preserves the editorial chain for compliance and defensibility.

Contract Review Tasks AI Does Not Perform

AI is a powerful assistant for contract work, but it operates within real boundaries. Understanding its boundaries is key to getting the most out of tools such as Spellbook without overextending what AI is designed to do.

Jurisdiction and Deal-Specific Legal Judgment

Every contract exists within a unique jurisdictional framework and commercial relationship. While AI can detect missing or ambiguous clauses, it cannot weigh the nuances of local case law or a counterparty's strategic reputation. AI excels at flagging what is in the text; only a lawyer can determine if those findings represent risks for a specific deal.

Further reading: Can Gemini review a contract?

Every AI Suggestion is a Draft

Treat every AI output as a first draft. AI cannot certify legal accuracy. General AI tools may hallucinate provisions, misclassify risk, and overlook details and contextual clues that only a practitioner would catch. Human verification of AI output is mandatory.

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When Does AI Contract Review Make the Most Sense?

Environments that process high volumes of contracts benefit most from AI contract review. For example, corporate legal departments that process hundreds of NDAs or vendor agreements each quarter gain significant returns. AI can scale contract review capacity without a corresponding increase in headcount.

NDA contracts follow predictable patterns. AI can flag deviations from standard terms in seconds. For M&A due diligence, AI can accelerate deal cycles and compress contract turnaround times on large document sets.

See how in-house teams apply AI to contract workflows.

AI Contract Review in Transactional Workflows

AI contract review tools are beneficial in the pre-execution phase. Below, we look at how AI performs tasks during first-pass triage.

The Triage Pass (First-Pass Contract Review)

Upload a contract. Within minutes, AI returns a marked-up document with flagged risks and suggested redlines. What once took three hours of associate time can now take only minutes.

Playbooks enforce consistency. A firm encodes its preferred positions and fallback terms into reusable standards. The AI then enforces compliance with playbook standards across all contract types on every subsequent review.

Counterparty Analysis (Negotiation Mode)

Spellbook’s counterparty analysis (Negotiation mode) reviews contracts from your client’s perspective and suggests strategic edits to improve your position. You see highlighted clauses for potential renegotiation, suggestions for stronger language, and help preparing for negotiations, all directly in Microsoft Word.

The lawyer makes the argument. Spellbook helps find the clauses to support it.

AI Contract Review vs. CLM Platforms and Manual Review

Manual contract review requires that a lawyer spend time reading every clause. Quality stays high as long as the reviewer does not tire or get distracted. However, the process does not scale with additional headcount.

Contract Lifecycle Management (CLM) platforms centralize all contracts in a searchable repository. They can help organize documents, manage approvals, or access contract intelligence. But most CLM tools cannot interpret clause-level language or generate redlines.

Legal AI contract review software reads and analyzes contract text, produces redlines, and benchmarks clauses. These and other features help legal teams increase consistency and reduce outside counsel spend.

Many companies pair an AI review tool with a CLM platform.

How to Use AI to Review a Contract

With Spellbook, the contract review process works like this:

1. Open the contract in Microsoft Word.

2. Select a playbook. Choose the legal standards that apply to this contract type.

3. Run the initial scan. The AI reads the full document and returns a structured summary of obligations, deadlines, and risk areas.

4. Review each flag. Examine every clause the AI has marked. Confirm, modify, or dismiss each.

5. Apply redlines. Accept, revise, or reject each suggested change.

6. Complete the human review. Read the contract in full. Verify that the AI did not miss jurisdiction-specific or context-dependent issues.

Preference Learning (a Spellbook feature) allows the AI to adapt to an individual’s editing style, risk thresholds, and redlining preferences over time.

Using Claude? See how the Claude legal plugin works for contract review workflows.

Best Practices for AI-Assisted Contract Review

Build playbooks for each contract type your firm handles. With a well-constructed playbook, the AI can enforce consistent standards in future documents. Update playbooks as case law and firm policy evolve. Custom clause libraries define fallback language for common provisions, and the tool applies it to each review.

Also, compare AI output against manual review results each quarter to assess AI’s review quality.

Ethical Considerations When Using AI for Contract Review

Confirm that your AI vendor provides legal-grade privacy and security measures, including a ZDR policy, privilege-safe architecture, SOC 2 Type II certification, GDPR/CCPA data residency controls, and audit-ready traceability logs.

Under ABA Formal Opinion 512, lawyers using AI must consider their obligations across competent representation, client confidentiality, communication, and reasonable fees, among others.

Vendor due diligence. Confirm your AI vendor encrypts data in transit and at rest, limits access to authorized users, and does not train its models on client data.
Competence. Lawyers must understand the AI tools they use, including their limitations and potential risks, before deploying them in client matters.
Fees. AI-driven efficiencies should be reflected in clients' charges. Attorneys who bill hourly must bill for the actual time spent.
Supervision. Managerial attorneys must establish clear policies on AI use and ensure lawyers and non-lawyers alike are trained on its risks.

Requirements vary by jurisdiction. Check your state bar's guidance before deploying AI in client matters.

A practitioner who relies on output without comprehension of the model's limits violates the duty of competence (ABA Model Rule 1.1) and the duty of diligence (ABA Model Rule 1.3). Lawyers should always oversee all AI-generated work product.

Ready to Put AI Contract Review to Work with Spellbook?

Your next vendor agreement is in Microsoft Word. Spellbook is a Word add-in. You can open Spellbook in the Word document, run a first-pass review, and see flagged risks and suggested redlines in minutes, without switching tabs, uploading files, or copying and pasting text.

More than 4,000 firms across 80+ countries have used Spellbook to review over 10 million contracts. Request a demo to see AI contract review in your own workflow.

Frequently Asked Questions

Does AI contract review work for all contract types?

Yes. AI contract review tools work for most standard commercial contract types, such as NDAs, MSAs, and vendor agreements. However, highly specialized instruments require domain expertise that current models lack.

How Long Does an AI Contract Review Take?

Most AI tools return a first-pass review within two to five minutes. More complex documents may require ten to fifteen minutes. Manual review of the same document often takes several hours.

Does AI Review Replace a Junior Associate's First Pass?

No. AI accelerates the first pass but does not replace the associate. The associate's role simply shifts to quality control and strategic review.

Is It Safe to Upload Client Contracts to Spellbook?

Yes. Spellbook meets enterprise-grade security and compliance requirements to protect client confidentiality, including end-to-end encryption of data in transit and at rest, zero data retention, SOC 2 Type II certification, and compliance with GDPR, CCPA, PIPEDA, and HIPAA.

Role-based access controls, SSO support, audit logs, and admin dashboards are also available for larger organizations.

Can Spellbook Review Contracts in Languages Other than English?

Yes. Spellbook can review documents and chat in 140+ languages.

How Does Spellbook Compare to Other AI Contract Review Tools?

Spellbook operates in Microsoft Word, eliminating the need to upload documents to a separate platform. It offers playbook enforcement, Preference Learning, and clause-level benchmarking.

What is the Difference Between an AI Contract Review and a CLM Platform?

A CLM platform manages the contract lifecycle, including storage, retrieval, approvals, and renewal workflows. An AI contract review tool reads and analyzes contract text. Many teams use both tools in tandem.

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